| Literature DB >> 35202412 |
Grzegorz Adamczyk1, Jorge Capetillo-Ponce2, Dominik Szczygielski1.
Abstract
The present study concerns the phenomenon of the co-dependence of value orientations and consumer behaviours. Although the idea of the overall connections between both areas is not new, the article contributes to the knowledge about relations between very specific consumer behaviours and social value orientations among people married or in an informal partnership. Using the obtained data, we examine to what extent the prosocial, reciprocal, and egoistic value orientations coexist with compensative, compulsive, and demonstrative buying. The analysis confirms the hypotheses that representatives of the reciprocal and egoistic orientations show susceptibility to compensative and compulsive buying to a greater extent than persons preferring other value orientations. In addition, the data show co-dependence of the reciprocal value orientation and demonstrative buying, while the prosocial value orientation seems to protect against compulsive buying. According to the regression analysis, this effect disappears if prosocially oriented persons suffer from low self-esteem at the same time being characterised by strong materialism. All hypothesised relations between value orientations and consumer behaviours have been analysed in multidimensional models considering materialism, self-esteem, age, and gender as the main factors of compensative and compulsive buying. The findings come from the 2017 survey based on a statistically representative sample of 1,121 adult Poles who were then married or in an informal partnership. The German Compulsive Buying Indicator and Lange's Scale of Demonstrative Buying were introduced to measure consumer behaviours.Entities:
Mesh:
Year: 2022 PMID: 35202412 PMCID: PMC8870570 DOI: 10.1371/journal.pone.0264185
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Sociodemographic characteristic of the sample.
|
| % | |
|---|---|---|
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| ||
|
|
| 49.7 |
|
|
| 50.3 |
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| ||
|
|
| 11.5 |
|
|
| 24.4 |
|
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| 22.6 |
|
|
| 19.9 |
|
|
| 9.6 |
|
|
| 11.9 |
|
| 46.6 | |
|
| ||
|
|
| 82.2 |
|
|
| 17.7 |
|
| ||
|
|
| 15.7 |
|
|
| 32.2 |
|
|
| 40.4 |
|
|
| 11.7 |
|
| ||
|
|
| 55.1 |
|
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| 5.0 |
|
|
| 9.6 |
|
|
| 20.3 |
|
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| 6.0 |
|
|
| 4.0 |
|
| ||
|
|
| 6.7 |
|
|
| 12.0 |
|
|
| 27.9 |
|
|
| 32.6 |
|
|
| 16.4 |
|
|
| 4.5 |
|
| ||
|
|
| 40.8 |
|
|
| 13.1 |
|
|
| 10.7 |
|
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| 8.1 |
|
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| 7.7 |
|
|
| 9.0 |
|
|
| 10.6 |
Source: Researchers’ own study
Factor analysis: Rotated component matrix.
| Component 1 | Component 2 | Component 3 | Component 4 | |
|---|---|---|---|---|
|
| 0.491 | 0.469 | ||
|
| 0.800 | |||
|
| 0.686 | |||
|
| 0.760 | |||
|
| 0.730 | |||
|
| 0.736 | |||
|
| 0.608 | |||
|
| 0.733 | |||
|
| 0.742 | |||
|
| 0.696 | |||
|
| 0.504 | |||
|
| 0.685 | |||
|
| 0.585 |
Extraction Method: Principal Component Analysis; Rotation Method: Varimax with Kaiser Normalization
Source: Researchers’ own study
Correlations between the items included in the scale (N = 1,121).
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| ||||
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| |
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| 0.356 | 0.409 | 0.305 | 0.314 |
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| 0.482 | 0.547 | 0.506 | |
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| 0.429 | 0.492 | ||
|
| 0.408 | |||
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| ||||
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| ||||
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|
| |||
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| 0.402 | 0. 392 | ||
|
| 0.415 | |||
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| ||||
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|
| |||
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| 0.472 | 0.266 | ||
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| 0.277 | |||
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*p < 0.001
Source: Researchers’ own study
Analysis of the discriminant validity of the value orientation scales based on the results of the t-student test.
| Mean Values | Levene’s test | t-Student test | |
|---|---|---|---|
|
| Non-prosocial oriented = 15.3 | F = 1.374; p = 0.241 | t(1,119) = -3.755; p<0.001 |
| Prosocial oriented = 16.1 | |||
|
| Non-prosocial oriented = 15.1 | F = 6.175; p = 0.013 | t(686.579) = -4.673; p<0.001 |
| Prosocial oriented = 16.2 | |||
|
| Non-reciprocal oriented = 5.7 | F = 1.835; p = 0.176 | t(1,119) = -8.480; p<0.001 |
| Reciprocal oriented = 7.2 | |||
|
| Non-reciprocal oriented = 6.0 | F = 8.589; p = 0.003 | t(61.298) = -9.243; p<0.001 |
| Reciprocal oriented = 8.4 | |||
|
| Non-egoistic oriented = 5.4 | F = 9.875; p = 0.002 | t(55.311) = -6.913; p<0.001 |
| Egoistic oriented = 7.8 | |||
|
| Non-egoistic oriented = 5.4 | F = 32.778; p = 0.001 | t(77.536) = -8.316; p<0.001 |
| Egoistic oriented = 8.0 |
Source: Researchers’ own study
Summary of the stepwise regression analysis of value orientations as predictors of compulsive buying.
| B | Std. Error | ß | T |
| |
|---|---|---|---|---|---|
|
| |||||
|
| 28.037 | 2.666 | 10.518 | 0.000 | |
|
| 0.255 | 0.017 | .389 | 14.856 | 0.000 |
|
| -0.537 | 0.050 | -.280 | -10.807 | 0.000 |
|
| -0.043 | 0.019 | -.059 | -2.201 | 0.028 |
|
| 2.294 | 0.514 | .118 | 4.462 | 0.000 |
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|
| 27.235 | 2.688 | 10.134 | 0.000 | |
|
| 0.254 | 0.017 | 0.387 | 14.828 | 0.000 |
|
| -0.552 | 0.050 | -0.288 | -11.017 | 0.000 |
|
| -0.046 | 0.019 | -0.063 | -2.346 | 0.018 |
|
| 2.192 | 0.515 | 0.112 | 4.252 | 0.000 |
|
| 0.283 | 0.132 | 0.054 | 2.149 | 0.032 |
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|
| 25.656 | 2.698 | 9.508 | 0.000 | |
|
| 0.231 | 0.018 | 0.353 | 12.964 | 0.000 |
|
| -0.494 | 0.050 | -0.257 | -9.823 | 0.000 |
|
| -0.033 | 0.019 | -0.046 | -1.725 | 0.085 |
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| 2.442 | 0.511 | 0.125 | 4.779 | 0.000 |
|
| 0.751 | 0.170 | 0.119 | 4.413 | 0.000 |
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| |||||
|
| 26.585 | 2.744 | 9.688 | 0.000 | |
|
| 0.249 | 0.017 | 0.380 | 14.348 | 0.000 |
|
| -0.513 | 0.051 | -0.267 | -10.077 | 0.000 |
|
| -0.040 | 0.019 | -0.055 | -2.069 | 0.039 |
|
| 2.432 | 0.517 | 0.125 | 4.704 | 0.000 |
|
| 0.307 | 0.141 | 0.057 | 2.171 | 0.030 |
Step 4: ΔR2 = .324, p < 0.001; Std. Error = 8.020; Step 5 (1): ΔR2 = .329, p < 0.001; Std. Error = 8.007; Step 5 (2): ΔR2 = .338, p < 0.001; Std. Error = 7.954; Step 5 (3): ΔR2 = .329, p < 0.001; Std. Error = 8.006
Source: Researchers’ own study
Summary of the stepwise regression analysis of materialism, self-esteem, age, gender, and value orientations as predictors of demonstrative buying.
| B | Std. Error | ß | t |
| |
|---|---|---|---|---|---|
|
| |||||
|
| 7.747 | 0.558 | 13.883 | 0.000 | |
|
| 0.097 | 0.008 | 0.358 | 12.831 | 0.000 |
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| 5.905 | 1.041 | 5.673 | 0.000 | |
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| 0.103 | 0.008 | 0.377 | 12.856 | 0.000 |
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| 0.049 | 0.023 | 0.061 | 2.095 | 0.036 |
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| |||||
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| 5.964 | 1.143 | 5.217 | 0.000 | |
|
| 0.103 | 0.008 | 0.377 | 12.706 | 0.000 |
|
| 0.049 | 0.023 | 0.062 | 2.095 | 0.036 |
|
| -0.001 | 0.009 | -0.004 | -0.124 | 0.901 |
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| |||||
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| 7.817 | 1.249 | 6.257 | 0.000 | |
|
| 0.101 | 0.008 | 0.372 | 12.591 | 0.000 |
|
| 0.052 | 0.023 | 0.065 | 2.237 | 0.025 |
|
| -0.013 | 0.009 | -0.043 | -1.412 | 0.158 |
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| -0.863 | 0.241 | -0.107 | -3.584 | 0.000 |
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| |||||
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| 7.095 | 1.252 | 5.665 | 0.000 | |
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| 0.100 | 0.008 | 0.369 | 12.586 | 0.000 |
|
| 0.039 | 0.023 | 0.049 | 1.660 | 0.097 |
|
| -0.016 | 0.009 | -0.052 | -1.736 | 0.083 |
|
| -0.955 | 0.240 | -0.118 | -3.977 | 0.000 |
|
| 0.254 | 0.061 | 0.116 | 4.146 | 0.000 |
|
| |||||
|
| 7.201 | 1.272 | 5.660 | 0.000 | |
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| 0.095 | 0.008 | 0.350 | 11.310 | 0.000 |
|
| 0.063 | 0.024 | 0.080 | 2.672 | 0.008 |
|
| -0.010 | 0.009 | -0.035 | -1.143 | 0.253 |
|
| -0.825 | 0.241 | -0.102 | -3.425 | 0.001 |
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| 0.194 | 0.080 | 0.074 | 2.420 | 0.016 |
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| |||||
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| 8.747 | 1.284 | 6.814 | 0.000 | |
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| 0.105 | 0.008 | 0.386 | 12.946 | 0.000 |
|
| 0.037 | 0.024 | 0.046 | 1.533 | 0.126 |
|
| -0.014 | 0.009 | -0.048 | -1.594 | 0.111 |
|
| -0.952 | 0.242 | -0.118 | -3.936 | 0.000 |
|
| -0.196 | 0.066 | -0.088 | -2.972 | 0.003 |
Step 1: R2 = .128, p < 0.001; Std. Error = 3.78215; Step 2: ΔR2 = .132, p < 0.001; Std. Error = 3.776; Step 3: ΔR2 = .132, p < 0.001; Std. Error = 3.778; Step 4: ΔR2 = .142, p < 0.001; Std. Error = 3.758; Step 5 (1): ΔR2 = .155, p < 0.001; Std. Error = 3.731; Step 5 (2): ΔR2 = .146, p < 0.001; Std. Error = 3.750; Step 5 (3): ΔR2 = .148, p < 0.001; Std. Error = 3.745
Source: Researchers’ own study